Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: TypeError
Message: Couldn't cast array of type
struct<source_npz: string, op_id: int64, root_a: int64, root_b: int64, fov_center_um: list<item: double>, n_tokens: int64, tokens: list<item: struct<token_idx: int64, abs_um: list<item: double>, rel_um: list<item: double>, y_part: int64, root_id: int64, sv_id: string>>, proofread_root: int64>
to
{'source_npz': Value('string'), 'root_id': Value('int64'), 'fov_center_um': List(Value('float64')), 'n_tokens': Value('int64'), 'tokens': List({'token_idx': Value('int64'), 'abs_um': List(Value('float64')), 'rel_um': List(Value('float64')), 'root_id': Value('int64')}), 'op_id': Value('int64')}
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2255, in cast_table_to_schema
cast_array_to_feature(
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1804, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2061, in cast_array_to_feature
casted_array_values = _c(array.values, feature.feature)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1806, in wrapper
return func(array, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2101, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<source_npz: string, op_id: int64, root_a: int64, root_b: int64, fov_center_um: list<item: double>, n_tokens: int64, tokens: list<item: struct<token_idx: int64, abs_um: list<item: double>, rel_um: list<item: double>, y_part: int64, root_id: int64, sv_id: string>>, proofread_root: int64>
to
{'source_npz': Value('string'), 'root_id': Value('int64'), 'fov_center_um': List(Value('float64')), 'n_tokens': Value('int64'), 'tokens': List({'token_idx': Value('int64'), 'abs_um': List(Value('float64')), 'rel_um': List(Value('float64')), 'root_id': Value('int64')}), 'op_id': Value('int64')}Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
MERGER FREE — review bundles
Demo data for the MERGER FREE project by Fuming Yang and Sven Dorkenwald.
Each JSON bundle is one MICrONS neuron's review payload. Drop one into the static review site at FumingYang-Felix/MERGE_FREE_DEMO to step through suspect windows in Neuroglancer.
Layout
FumingY/MergeFree/
├── README.md
└── bundles/
└── <root_id>_hybrid.json.gz ← one per neuron
Direct download URL
https://huggingface.co/datasets/FumingY/MergeFree/resolve/main/bundles/<ROOT_ID>_hybrid.json.gz
Suitable for =HYPERLINK() in Google Sheets (column A = root id):
=HYPERLINK(
"https://huggingface.co/datasets/FumingY/MergeFree/resolve/main/bundles/" & A2 & "_hybrid.json.gz",
"download"
)
How to review
- Click a download link → browser saves
<root>_hybrid.json.gzto your Downloads folder. - Open https://fumingyang-felix.github.io/MERGE_FREE_DEMO/.
- Click ↑ Import bundle and pick the downloaded file — the site decompresses it automatically.
- For each suspect window, answer Real merge? and pick which colored token clusters in SPLIT WHICH? should be split off.
- Click ↓ Export decisions when done — that JSON is the reviewer's output.
- Downloads last month
- 606